code: def get_rel_pos(rel_pos, d):
      if isinstance(d, int):
          ori_d = rel_pos.shape[0]
          if ori_d == d:
              return rel_pos
          else:
              # Interpolate rel pos.
              new_pos_embed = F.interpolate(
                  rel_pos.reshape(1, ori_d, -1).permute(0, 2, 1),
                  size=d,
                  mode="linear",
              )
  
              return new_pos_embed.reshape(-1, d).permute(1, 0)
  
file_path: SlowFast/slowfast/models/attention.py
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.init import trunc_normal_
  from slowfast.models.common import DropPath, Mlp
label_desc: Use image node_id 2 for calling a global function with example usage: get_rel_pos(rel_pos, d) and returns: rel_pos, new_pos_embed